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Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula
Based on a composited Newton–Cotes formula, this paper proposes a numerical method to predict milling stability considering regenerative chatter and focusing on rate and prediction accuracy. First, the dynamic model of milling motion is expressed as state-space equations considering regenerative cha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385635/ https://www.ncbi.nlm.nih.gov/pubmed/37512615 http://dx.doi.org/10.3390/mi14071304 |
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author | Zheng, Junqiang Ren, Pengfei Zhou, Chaofeng Du, Xu |
author_facet | Zheng, Junqiang Ren, Pengfei Zhou, Chaofeng Du, Xu |
author_sort | Zheng, Junqiang |
collection | PubMed |
description | Based on a composited Newton–Cotes formula, this paper proposes a numerical method to predict milling stability considering regenerative chatter and focusing on rate and prediction accuracy. First, the dynamic model of milling motion is expressed as state-space equations considering regenerative chatter, with the tooth passing period divided into a set of time intervals. Second, a composited Newton–Cotes formula is introduced to calculate the transition function map for each time interval. Third, the state transition matrix is constructed based on the above-mentioned transition function, and the prediction stability boundary is determined by the Floquet theory. Finally, simulation analysis and experimental verification are conducted to verify the effectiveness of the proposed method. The simulation results demonstrate that, for the milling model with a single degree of freedom (DOF), the convergence rate and prediction accuracy of the proposed method are higher than those of the comparison method. The experimental results demonstrate that, for the milling model with two DOFs, the machining parameters below the prediction stability boundary can avoid the chatter as much as possible, ensuring the machined surface quality. |
format | Online Article Text |
id | pubmed-10385635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103856352023-07-30 Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula Zheng, Junqiang Ren, Pengfei Zhou, Chaofeng Du, Xu Micromachines (Basel) Article Based on a composited Newton–Cotes formula, this paper proposes a numerical method to predict milling stability considering regenerative chatter and focusing on rate and prediction accuracy. First, the dynamic model of milling motion is expressed as state-space equations considering regenerative chatter, with the tooth passing period divided into a set of time intervals. Second, a composited Newton–Cotes formula is introduced to calculate the transition function map for each time interval. Third, the state transition matrix is constructed based on the above-mentioned transition function, and the prediction stability boundary is determined by the Floquet theory. Finally, simulation analysis and experimental verification are conducted to verify the effectiveness of the proposed method. The simulation results demonstrate that, for the milling model with a single degree of freedom (DOF), the convergence rate and prediction accuracy of the proposed method are higher than those of the comparison method. The experimental results demonstrate that, for the milling model with two DOFs, the machining parameters below the prediction stability boundary can avoid the chatter as much as possible, ensuring the machined surface quality. MDPI 2023-06-25 /pmc/articles/PMC10385635/ /pubmed/37512615 http://dx.doi.org/10.3390/mi14071304 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zheng, Junqiang Ren, Pengfei Zhou, Chaofeng Du, Xu Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title | Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title_full | Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title_fullStr | Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title_full_unstemmed | Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title_short | Milling Stability Prediction: A New Approach Based on a Composited Newton–Cotes Formula |
title_sort | milling stability prediction: a new approach based on a composited newton–cotes formula |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385635/ https://www.ncbi.nlm.nih.gov/pubmed/37512615 http://dx.doi.org/10.3390/mi14071304 |
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